Jingyi (Sally) Xu

About Me

I am an incoming PhD candidate in the Institute for Sensing and Navigation at Shanghai Jiao Tong University. I received my B.S. and M.S. degrees in vehicle engineering from the Beijing Institute of Technology in 2020 and 2023 respectively. I am trying to apply learning methods to intelligent vehicles and robots.

Research Interests

• Place recognition
• Energy management strategies
• …

News

• [Feb. 2024] Our paper Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications is accepted by CVPR 2024.
• [Dec. 2023] Our paper LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition is accepted by RAL.
• [Sep. 2023] Our paper CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data is accepted by IEEE Transactions on Industrial Informatics.
• [Dec. 2022] Our paper SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data is accepted by IEEE Transactions on Industrial Electronics.
• [July. 2022] Our paper A Transferable Energy Management Strategy for Hybrid Electric Vehicles via Dueling Deep Deterministic Policy Gradient is accepted by Green Energy and Intelligent Transportation.
• [Apr. 2022] Our paper A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles is accepted by IV 2022.
• [Apr. 2022] Our paper Multi-Uncertainty Captured Multi-Robot Lidar Odometry and Mapping Framework for Large-Scale Environments is accepted by Unmanned Systems.
• [Jun. 2021] Our paper Road Roughness Estimation for Intelligent Vehicles Based on SNE and Semantic Segmentation is accepted by ICUS 2021.
• [Jun. 2021] Our paper Mutual Pose Recognition Based on Multiple Cues in Multi-robot Systems is accepted by ICUS 2021.

SELECTED Publications

Place Recognition and SLAM

• SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data
  Junyi Ma, Xieyuanli Chen, Jingyi Xu, Guangming Xiong*
  IEEE Transactions on Industrial Electronics (TIE), 2022.
  [PDF] [Code]

• CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data
  Junyi Ma, Guangming Xiong, Jingyi Xu, Xieyuanli Chen*
  IEEE Transactions on Industrial Informatics (TII), 2023.
  [PDF] [Code]
  

• LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
  Zijie Zhou, Jingyi Xu, Guangming Xiong, Junyi Ma
  IEEE Robotics and Automation Letters (RA-L), 2023.
  [PDF] [Code]
  

• Explicit Interaction for Fusion-Based Place Recognition
  Jingyi Xu, Junyi Ma, Qi Wu, Zijie Zhou, Yue Wang, Xieyuanli Chen, Ling Pei*
  arXiv preprint arXiv:2402.17264, 2024.
  [PDF] [Code]
  

• MUC-LOAM: Multi-uncertainty Captured Multi-robot Lidar Odometry and Mapping Framework for Large-scale Environments
  Guangming Xiong*, Junyi Ma, Huilong Yu, Jingyi Xu, Jiahui Xu
  Unmanned Systems (US).
  [PDF] [Code]

Occupancy Forecasting

• Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
  Junyi Ma#, Xieyuanli Chen#, Jiawei Huang, Jingyi Xu, Zhen Luo, Jintao Xu, Weihao Gu, Rui Ai, Hesheng Wang*
  IEEE/CVF Conf.~on Computer Vision and Pattern Recognition (CVPR), 2024
  [PDF] [Code]
  

Energy Management Strategies

• A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles
  Jingyi Xu, Zirui Li, Li Gao, Junyi Ma, Qi Liu, and Yanan Zhao*
  IEEE Intelligent Vehicles Symposium (IV), 2022.
  [PDF] [Code]

• A Transferable Energy Management Strategy for Hybrid Electric Vehicles via Dueling Deep Deterministic Policy Gradient
  Jingyi Xu, Zirui Li, Guodong Du, Qi Liu, Li Gao, and Yanan Zhao*
  Green Energy and Intelligent Transportation.
  [PDF]

Others

• Road Roughness Estimation for Intelligent Vehicles Based on SNE and Semantic Segmentation
  Jingyi Xu, Li Gao, Junyi Ma, Yanan Zhao*, Zhiyang Song, and Yutian Lin
  IEEE International Conference on Unmanned Systems (ICUS), 2021.
  [PDF]

• Mutual Pose Recognition Based on Multiple Cues in Multi-robot Systems
  Junyi Ma, Guangming Xiong*, Jingyi Xu, Jiarui Song, and Dong Sun
  Best paper for IEEE International Conference on Unmanned Systems (ICUS), 2021.
  [PDF] [Code]

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